PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-22 10:20:02.993807+00:00 (UTC)
In US/Central Time, this is 2024-03-22 05:20:02.993807-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/1f57408536765713b70a8dd6b3ac8edb31683e49070c0ea67c46437722ccbb2b.png
We are just generating a random time serie here.
../_images/70b0d9809ab7cd2b6f893143cd01c1fa7d2ef34b98162cbb5592ed3a79589e5a.png
../_images/fa14b8c98de85df122a8ee0424f277e929419156231a4c7091d2837ab01a78a7.png